1 to 25 of 86 Permanent Machine Learning Jobs in Scotland

Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions … cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data ...

Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions … cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data ...

Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions … cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data ...

comparability to reference samples. Talent Vetting & Output Improvement Participate in vetting and assessing technical contractor talent for specific projects, including code review tests and ML task evaluations. Review sample work from contractors and provide precise, actionable written feedback to improve outputs. Create targeted training or calibration resources — e.g., best practices … code, hyperparameter tuning guidelines, dataset preparation standards. Project Delivery Support Advise on technical scoping and requirements during project setup, including choice of programming languages, ML frameworks, and data preprocessing pipelines. Provide expert guidance for edge cases, technical exceptions, and specification changes during the project lifecycle. Contribute to post-project reviews ...

seeking an experienced AI Embedded Software Engineer to join our Advanced Concepts Group. The successful candidate will lead R&D on-board AI/ML efforts, focusing on deploying cutting-edge artificial intelligence and machine learning solutions on power-constrained devices aboard our nanosatellites. This role reports directly … Senior Director of Research and Development. Responsibilities: Lead research and development of AI/ML algorithms optimized for deployment on power-constrained nanosatellite platforms Design and implement embedded AI/ML inference engines for real-time on-orbit decision making Develop and optimize neural network models for edge computing applications ...

pipelines within Databricks. Deploy, monitor, and support machine learning models in production. Take a hands-on approach to data science, analytics, and ML solutions. Continuously optimise data workflows for performance, reliability, and scalability. What youll need: Proven hands-on experience with Databricks, Python, PySpark, and SQL. Machine learning experience in a cloud environment (AWS, Azure, or GCP). Strong understanding of ML libraries such as scikit-learn, TensorFlow, or MLflow. Solid background in data modelling, ELT/ETL processes, and analytics best practices. If youre ready to make an impact in a growing tech company ...

pipelines within Databricks. • Deploy, monitor, and support machine learning models in production. • Take a hands-on approach to data science, analytics, and ML solutions. • Continuously optimise data workflows for performance, reliability, and scalability. What you’ll need: • Proven hands-on experience with Databricks, Python, PySpark, and SQL. • Machine learning experience in a cloud environment (AWS, Azure, or GCP). • Strong understanding of ML libraries such as scikit-learn, TensorFlow, or MLflow. • Solid background in data modelling, ELT/ETL processes, and analytics best practices. If you’re ready to make an impact in a growing tech ...

Learning Engineer Location: Remote We are hiring Machine Learning Engineers to support advanced benchmarking and performance-improvement projects across real-world ML workloads. This part-time, remote opportunity is ideal for early-career ML engineers or ML-focused PhD candidates who want to work on high-impact … structured tasks with measurable outcomes. What You'll Do Draft detailed natural-language plans and code implementations for ML tasks Convert novel ML problems into agent-executable tasks for RL environments Identify failure modes and apply golden patches to LLM-generated trajectories What You'll Bring 0–2 years ...

responsible for driving the strategic vision and execution of AI-driven data solutions across our supply chain ecosystem. Leveraging your deep expertise in AI, machine learning, and supply chain management, you will lead a team of talented professionals and collaborate with cross-functional stakeholders to optimize our supply … transformation and planning capabilities by delivering data that is well defined, standardized and accessible. You will also be instrumental in leveraging advanced data analytics, machine learning, and AI techniques to transform our supply chain processes and enhance overall efficiency. Your knowledge in data science, coupled with your understanding ...

passionate and skilled Machine Learning Engineer to join our growing team. Youll play a key role in designing, developing, and deploying scalable ML solutions across a variety of domains. This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative … stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance ...

scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented ML Ops Engineer to join our growing teams. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost … TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills ...

rapid expansion Opportunity to shape the future of AI solutions in a high-growth environment What you will do: Research, design, and implement advanced machine learning algorithms and models Develop and optimize AI pipelines for data processing, training, and inference Collaborate with cross-functional teams to integrate … Proven experience in machine learning, deep learning, and natural language processing Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) Ability to translate complex problems into practical, scalable AI solutions How to Apply: To apply for this job speak to Jack ...

Bioinformatics. Proven hands-on experience with Clustal Omega. Strong understanding of data-driven research and computational modeling. Interest or experience in AI/ML, scientific computing, or simulation-based learning. Excellent analytical and communication skills. Previous experience in AI, machine learning, or computational research projects (preferred). DataForce … provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine ...

Bioinformatics. Proven hands-on experience with Clustal Omega. Strong understanding of data-driven research and computational modeling. Interest or experience in AI/ML, scientific computing, or simulation-based learning. Excellent analytical and communication skills. Previous experience in AI, machine learning, or computational research projects (preferred). DataForce … provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine ...

AMBIENT-BD project team (https://www.ambientbd.com/team). They will: focus on the development and application of signal processing and statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; work … Engineering, Mathematics, Statistics, Physics, or Computer Science. Experience in the application and development of data analytics methods (e.g. time-series analysis, signal processing, statistical machine learning), preferably including some experience on physiological signals, clinical reports/self-reported outcome measures and sensor data. Experience working in multi-disciplinary ...

publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here … latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form. For additional information see our Candidate Privacy Notice. ...

solution quality and clarity Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications Strong experience as a backend software engineer, machine learning engineer, or applied data scientist Degree in Software Engineering, Computer Science, or related field Strong proficiency in Go programming language Experience with debugging ...

solution quality and clarity Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications Strong experience as a backend software engineer, machine learning engineer, or applied data scientist Degree in Software Engineering, Computer Science, or related field Strong proficiency in Go programming language Experience with debugging ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

Champion of infrastructure-as-code, GitOps, and continuous integration standards. AI & Analytics Enablement Partner with AI and analytics teams to operationalize data pipelines supporting ML model training and inference. Deep understanding of how data engineering architecture impacts model performance and explainability. Essential Traits 12+ years of progressive experience in data ...

Champion of infrastructure-as-code, GitOps, and continuous integration standards. AI & Analytics Enablement Partner with AI and analytics teams to operationalize data pipelines supporting ML model training and inference. Deep understanding of how data engineering architecture impacts model performance and explainability. Essential Traits 12+ years of progressive experience in data ...

this the next step in your career Find out if you are the right candidate by reading through the complete overview below. AI/ML Software Developer: CoSTAR National Lab Grade 7-8 (£38,784.49 - £56,535.57) dependent on experience Full Time, Fixed-Term, until March 2029 (flexible and remote … experience for our students. This is a fabulous opportunity to shape the story of how creative industries innovate in future technologies, from AI/ML and generative AI to immersive experiences to Realtime networked interaction. This role will champion technology innovation in the screen and performance sectors. You will ...

this post is £41,064 to £48,822 per annum Your Skills And Attributes For Success A PhD or near completion in AI/ML, Formal Verification, PL, or related areas of computer science/engineering (for the postdoctoral level position) Track record of research excellence evidenced by e.g. preprints ...